Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components

Hirotaka Takano, Ryosuke Hayashi, Hiroshi Asano and Tadahiro Goda
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Hirotaka Takano: Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan
Ryosuke Hayashi: Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan
Hiroshi Asano: Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan
Tadahiro Goda: Aichi Institute of Technology, Toyota 470-0392, Japan

Energies, 2021, vol. 14, issue 21, 1-13

Abstract: Battery energy storage systems (BESSs) are key components in efficiently managing the electric power supply and demand in microgrids. However, the BESSs have issues in their investment costs and operating lifetime, and thus, the optimal sizing of the BESSs is one of the crucial requirements in design and management of the microgrids. This paper presents a problem framework and its solution method that calculates the optimal size of the BESSs in a microgrid, considering their cooperative operations with the other components. The proposed framework is formulated as a bi-level optimization problem; however, based on the Karush–Kuhn–Tucker approach, it is regarded as a type of operation scheduling problem. As a result, the techniques developed for determining the operation schedule become applicable. In this paper, a combined algorithm of binary particle swarm optimization and quadratic programming is selected as the basis of the solution method. The validity of the authors’ proposal is verified through numerical simulations and discussion of their results.

Keywords: microgrids; battery energy storage systems (BESSs); bi-level optimization; optimal sizing; optimal operation scheduling; particle swarm optimization (PSO); quadratic programming (QP); Karush–Kuhn–Tucker (KKT) approach (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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